iphc_format_for_EAFM: Format results from multiple species for Jennifer's EAFM HG...

In pbs-assess/gfiphc: Data Extraction and Analysis for Groundfish Data from the IPHC Longline Survey in BC

Format results from multiple species for Jennifer's EAFM HG Herring Case Study and save them.

Description

Create and save a .csv file in the format requested by Jennifer Bolt: What would work best for me is a csv file with 3 columns: Year, Indicator, Value Non-standardized values are best (i.e. not normalised). The Indicator column could include:

1. ArrowtoothFlounder_IPHC_SurveyCatchRate

2. ArrowtoothFlounder_IPHC_UpperCI

3. ArrowtoothFlounder_IPHC_LowerCI

4. Rockfish_IPHC_SurveyCatchRate

5. ...

Usage

iphc_format_for_EAFM(
  sp_vec,
  sp_vec_list,
  path = ".",
  filename = "herring-HG-predators-IPHC.csv"
)

Arguments

sp_vec	A vector of species names. Each one must have a corresponding list species_name_area in the workspace which is an output from iphc_get_calc_plot_area() – see vignette.
sp_vec_list	list of output, with each element corresponding to each species (and named for that species), and being a tibble of the longest time series. See vignette, since needs to be created outside of a function.
path	The folder where the cached results will be saved.
filename	filename (including .csv) to save .csv file; also saves .rds of sp_vec_list.

Details

Also saves sp_vec_list as an .rds file.

Value

saves a .csv file and returns the resulting tibble. Columns are:

• Year

• Indicator (e.g. ArrowtoothFlounder_IPHC_SurveyCatchRate, ArrowtoothFlounder_IPHC_UpperCI)

• Value

Author(s)

Andrew Edwards

Examples

## Not run: 
# See vignette.

## End(Not run)

pbs-assess/gfiphc documentation built on July 4, 2023, 1:13 p.m.